Supporting Adaptive Interfaces in a Knowledge-Based User Interface EnvironmentPiyawadee Noi Sukaviriya

James Foley

Piyawadee Noi Sukaviriya

was a Research Scientist II at Georgia Institute of Technology

doctoral degree from the George Washington University

Mobile Solutions/Personal SystemsIBM Thomas J Watson Research Center CHI '97 Workshop: Speech User Interface Design Challenges

James Foley

Associate Dean, College of Computing Georgia Institute of Technology

chairman of the Computing Research Association

User Interface Design Environment Adaptive Interface User Model Adaptation Strategy

Basic Construct of User Model Using one interaction technique How many successful uses User cancels, requests help => difficulties Which technique used to perform action Repeated patterns How long the user spends on each help

session Assumes technique used frequently is the

preferred technique

Adaptation Strategy

Suggestions; user has control Reorganizations made less frequently

Role of Built-in Knowledge in Adaptive Interface SystemsDaniel Crow

Barbara Smith

Daniel Crow

School of Computer Studies – University of Leeds

Pattern identification and machine learning in human-computer interaction

Barbara Smith

Professor - University of Huddersfield, West Yorkshire, U.K.

Interested in constraint programming and related fields of AI, specifically in Algorithms, Problems and Empirical Studies

Task-Oriented Interfaces

DB_Habits – adaptive interface system Uses command sequences Use small amounts of low-level system

knowledge Adaptive - individual modelling with

descriptive methods Malleable – adaptation to individual user Collaborative – interface as bridge between 2

agents

User Modelling

Pattern recognition Assumption: repeated sequences rep. tasks Collaborative dialogue to confirm “task” Identify equivalent commands in logfile Fit between patterns and tasks Pattern freqency Order of tool usage